Sports Quantitative Analyst/Data Scientist

EveryMatrix was founded in 2008 by a team of innovative and visionary people with the aim to create a fully flexible and tailored software solution for operators whilst working with high-profile iGaming partners.

We are looking for a bright individual, with interest in building data-driven decision systems in the context of customer behavior analytics and sports betting. Good understanding of statistics and probability theory, along with attention to detail and a hands-on attitude are key in this role.

Your first tasks would include:

  • Building an automated customer risk assessment system to help reduce manual effort and control overall risk
  • Building bet recommendation system to increase customer engagement

Main responsibilities:

  • Identification and analysis of customer behavioral patterns in the context of sports betting.
  • Design and creation of automated customer risk assessment systems.
  • Creation of recommendation systems based on customer performance.
  • Support product development in mathematical aspects (for instance by creating a formula for a new betting feature).
  • Analysis of selected sports model and pricing performance, aiming to identify areas for improvement.
  • Play a challenging partner role within the team.

What will make you successful in the role:

  • A solid understanding of the fundamentals of statistical prediction and probability theory including (but not limited to) an in-depth knowledge of regression and model fitting
  • Intellectual curiosity, creativity and confidence to try new approaches
  • Excellent problem solving and communication skills, including communication with non-technical partners
  • Programming experience, ideally in Python or R
  • Master’s qualifications in a quantitative field (mathematics/statistics/physics/etc), postgraduate/research experience (PhD/postdoc) are preferred
  • Confidence to work with significant autonomy
  • Fluent English

Skills that will help you stand out:

  • Familiarity with Bayesian statistics, or an in-depth knowledge of generalized linear models (GLMs) would be a strong plus
  • Experience in a similar role
  • An interest in sports or competitive games
  • Quantitative research experience, possibly as part of a PhD or postdoc role
  • Strong Python and/or Java programming skills with exposure to data science
  • SQL skills
  • Prototyping experience
  • Kaggle profile
  • Familiarity to sports betting concepts
  • Experience with customer risk management

We offer:

  • 21 days of paid vacation plus 1 day per every year you work with us
  • 40 paid sick leaves
  • Medical insurance with a pretty much good coverage for you to feel safe
  • GYM (Sportlife at any location including the swimming pool or Eurosport)
  • We have lunches which are company paid and delivered straight to the office
  • Interesting and challenging tasks, opportunities for self-realization and career growth
  • English language courses
  • Education budget
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  • Shiny new and modern office.

  • Health insurance or gym membership, or a mix of both.

  • Dental Services.

  • Daily catered lunch.

  • Fruit day.

  • Massage at work.

  • Private healthcare and dental care discounts.

  • We hold team-building activities and office parties throughout the year.

  • We have an ever-growing library (online & offline).

  • Flexible schedule.

  • A fun entertainment corner.

  • Internal & external training.

  • Health and well-being in house programs.